Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions.



If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Experience with model monitoring and champion-challenger / A-B evaluation in production. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
This exciting opportunity is available to every team member, from junior team members to our founders.
At Finom, we're an equal opportunity employer and value diversity at our company. If you would like more information about how your data is processed, please contact us.
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📌 Senior Machine Learning Engineer (M/F/D) (España)
🏢 Finom
📍 España